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MM
2003
ACM
116views Multimedia» more  MM 2003»
14 years 20 days ago
Negative pseudo-relevance feedback in content-based video retrieval
Video information retrieval requires a system to find information relevant to a query which may be represented simultaneously in different ways through a text description, audio...
Rong Yan, Alexander G. Hauptmann, Rong Jin
AMR
2006
Springer
108views Multimedia» more  AMR 2006»
13 years 11 months ago
Variation of Relevance Assessments for Medical Image Retrieval
Abstract. Evaluation is crucial for the success of most research domains, and image retrieval is no exception to this. Recently, several benchmarks have been developed for visual i...
Henning Müller, Paul Clough, William R. Hersh...
ICMCS
2007
IEEE
163views Multimedia» more  ICMCS 2007»
14 years 1 months ago
An Augmented Reality Interface for Mobile Information Retrieval
Recent years have seen growing interest in mobile augmented reality. The ability to retrieve information and display it as virtual content overlaid on top of an image of the real ...
Jonathan Mooser, Lu Wang, Suya You, Ulrich Neumann
MIR
2010
ACM
325views Multimedia» more  MIR 2010»
13 years 9 months ago
A classification-driven similarity matching framework for retrieval of biomedical images
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
MM
2006
ACM
158views Multimedia» more  MM 2006»
14 years 1 months ago
Extreme video retrieval: joint maximization of human and computer performance
We present an efficient system for video search that maximizes the use of human bandwidth, while at the same time exploiting the machine’s ability to learn in real-time from use...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...